/*
* Copyright (c) 2022 Shenzhen Kaihong Digital Industry Development Co., Ltd. 
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

#ifndef AI_INTERPRETER_H
#define AI_INTERPRETER_H

#include "ai_retcode.h"
#include "ai_datatype.h"

class InferFramework;

enum class IOFlag {
    INPUT,
    OUTPUT,
};

class AIInterpreter {
public:
    AIInterpreter(const AlgorithmInfo &algoConfig);
    ~AIInterpreter();

    /**
     * Load the modelInterpreter.
     *
     * @return Return the return code of function execution.
     */
    AiRetCode Load();

    /**
     * Invoke the model inference.
     *
     * @return Return the return code of function execution.
     */
    AiRetCode SyncInfer(IOTensors &inputs, IOTensors &outputs) const;

    /**
     * Unload the modelInterpreter.
     *
     * @return Return the return code of function execution.
     */
    AiRetCode Unload();

    /**
     * Create the buffers of tensors of inputs or outputs.
     *
     * @param [in] tensors The vector of IOTensor which includes tensor information.
     * @param [in] flag The flag indicates inputs or outputs.
     * @return Return the return code of function execution.
     */

private:
    AiRetCode Init();
    AiRetCode Term();

private:
    bool isLoad_;
    AlgorithmInfo algoConfig_;
    std::shared_ptr<InferFramework> inferWrapper_;
};

#endif // AI_INTERPRETER_H
